Technical summary documenting a novel quantum-classical hybrid methodology for Earth system teleconnection discovery and seasonal climate prediction. The approach integrates variational quantum circuits and quantum kernel methods with NASA-IBM Prithvi foundation model embeddings to enable systematic exploration of high-dimensional climate feature spaces for agricultural climate risk assessment and greenhouse gas emission forecasting applications. Core innovations include: (1) quantum kernel formulations for teleconnection detection in foundation model embedding spaces, (2) hardware-efficient variational quantum circuit architectures optimized for Earth observation data, and (3) a seven-stage pipeline architecture bridging quantum processing with decision-support product generation. Conceived: 10 December 2025 Version: 1.0
Bradley Gay (Wed,) studied this question.